Week 6 - Logistic Regression¶

Yuting Xie (preferred Ella Xie)

Aims¶

The main concepts covered in this notebook are:

  • logistic regression
  • performance metrics for classification
  • dealing with imbalanced data
  • multi-class logistic regression

  1. Setup

  2. Binary Logistic Regression

  3. Regularization

  4. Imbalanced Data

  5. Multi-class Example

This week we will be implementing logistic regression for a classification task.

  • We will mainly focus on the data set stored in Default.csv.
  • For the multi-class example, we consider the iris data at the end of the notebook.

During workshops, you will complete the worksheets together in teams of 2-3, using pair programming. You should aim to switch roles between driver and navigator approximately every 15 minutes. When completing worksheets:

  • You will have tasks tagged by (CORE) and (EXTRA).
  • Your primary aim is to complete the (CORE) components during the WS session, afterwards you can try to complete the (EXTRA) tasks for your self-learning process.
  • In some Exercises, you will see some beneficial hints at the bottom of questions.

Instructions for submitting your workshops can be found at the end of worksheet. As a reminder, you must submit a pdf of your notebook on Learn by 16:00 PM on the Friday of the week the workshop was given.

Setup ¶

Packages¶

Let's load the packages we need for this workshop.

In [1]:
# Data libraries
import pandas as pd
import numpy as np

# Plotting libraries
import matplotlib.pyplot as plt
import seaborn as sns

# sklearn modules
from sklearn.linear_model import LogisticRegression

# Other necessary packages
from sklearn.preprocessing import StandardScaler # scaling features
from sklearn.pipeline import make_pipeline           # combining classifier steps
from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import OneHotEncoder

from sklearn.model_selection import GridSearchCV, KFold, StratifiedKFold 
from sklearn.model_selection import train_test_split

Helper Functions¶

We will make use of one of the helper functions that we saw last week.

In [2]:
def get_coefs(m, plot = False, feature_names = None, figsize = (5,5), figtitle = None, intercept = True):
    """Returns model coefficients in a data frame for a fitted linear model.
    
    Args:
        m: sklearn linear model object or pipeline with linear model as final step
        plot: boolean value, should coefficients be plotted with error bars
        feature_names: list of feature names to use in the plot 
        figsize: tuple defining figure size
        figtitle: string defining figure title
        intercept: boolean value, should intercept be included in the plot
    """
    
    # Extract intercept and coefficients into a single array
    w0 = m[-1].intercept_ if isinstance(m, sklearn.pipeline.Pipeline) else m.intercept_
    w1 = m[-1].coef_ if isinstance(m, sklearn.pipeline.Pipeline) else m.coef_
    w = np.concatenate((w0.reshape(-1), w1.reshape(-1)))
    # Extract name of features
    if feature_names is None:
        feature_names = m[:-1].get_feature_names_out() if isinstance(m, sklearn.pipeline.Pipeline) else m.feature_names_in_
    feature_names = np.concatenate((['intercept'], feature_names))
    # Create a data frame
    w_df = pd.DataFrame({'feature': feature_names, 'coef': w}).sort_values ("coef", ascending=False)

    if plot:
        if not intercept:
            w_df = w_df[w_df['feature'] != 'intercept']
        plt.figure(figsize=figsize)
        plt.barh(w_df['feature'], w_df['coef'])
        plt.ylabel('Features')
        plt.xlabel('Coefficient Value')
        plt.axvline(x=0, color=".5")
        if figtitle is not None:
            plt.title(figtitle)
        plt.grid()
        plt.show()
    
    return  w_df

Data¶

The dataset collects information on 10000 individuals, recording whether they defaulted on their credit card or not as well as other characteristics. Specifically, the included columns in the data are:

  • default - Whether the individual has defaulted

  • student - Whether the individual is the student

  • balance - The balance in the individual's account

  • income - Income of an individual

Our aim is to build a model using Logistic Regression to predict if person will default or not.

In [3]:
df_default = pd.read_csv("Default.csv", index_col=0)

df_default.head()
Out[3]:
default student balance income
1 No No 729.526495 44361.62507
2 No Yes 817.180407 12106.13470
3 No No 1073.549164 31767.13895
4 No No 529.250605 35704.49394
5 No No 785.655883 38463.49588

Exploratory Data Analysis¶

We will start with explanatory data analysis (EDA) to get more insight about the data.

🚩 Exercise 1 (CORE)¶

Examine the structure of the data. Consider the following questions:

a. What are the types of each variable? Based on the descriptive statistics, do anticipate any feature engineering steps that may be needed? Are there any missing values in the data?

b. Visualize the features (balance, income, student) and comment on any differences that you observe between individuals that have defaulted

In [4]:
# Part a: info and descriptive statistics
# Code for your answer here!
df_default.info()
df_default.describe()

<class 'pandas.core.frame.DataFrame'>
Index: 10000 entries, 1 to 10000
Data columns (total 4 columns):
 #   Column   Non-Null Count  Dtype  
---  ------   --------------  -----  
 0   default  10000 non-null  object 
 1   student  10000 non-null  object 
 2   balance  10000 non-null  float64
 3   income   10000 non-null  float64
dtypes: float64(2), object(2)
memory usage: 390.6+ KB
Out[4]:
balance income
count 10000.000000 10000.000000
mean 835.374886 33516.981876
std 483.714985 13336.639563
min 0.000000 771.967729
25% 481.731105 21340.462905
50% 823.636973 34552.644800
75% 1166.308387 43807.729275
max 2654.322576 73554.233500
In [5]:
# Part b: Visualize the data
# Code for your answer here!
sns.boxplot(x="default",y="balance",data=df_default)
plt.show()
sns.countplot(x="student",hue="default",data=df_default)
plt.show()
sns.boxplot(x="default",y="income",data=df_default)
plt.show()
No description has been provided for this image
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default and student are stored as object types, balance and income are stored as float types. there is no missing values but we need to transfer students' types into float. people who default will have more balance and may are student and may have less income.

Splitting and Preprocessing the Data¶

Next, let's create our feature matrix and response vector. We use LabelEncoder to encode our categorical output to a binary vector.

In [6]:
from sklearn.preprocessing import LabelEncoder

# Feature matrix and response vector
X, y = df_default.drop(['default'], axis=1), df_default['default']

# Encode default
y = LabelEncoder().fit_transform(y)

print(X.shape)
print(y.shape)

# Print the class distribution before splitting the data set 
print(pd.Series(y).value_counts(normalize=True)*100)

(10000, 3)
(10000,)
0    96.67
1     3.33
Name: proportion, dtype: float64

Notice the high class imbalance, with 96.67% of individuals that have not defaulted on their loan. Consider the following naive train/test split.

In [7]:
# Naively split the data into train and test sets 
X_train, X_test, y_train, y_test = train_test_split(X, y, shuffle= True,
                                                    test_size = 0.1, random_state=1112)


# Check the proportion of defaults in both train and test data sets 
print(pd.Series(y_train).value_counts(normalize=True)*100)
print(pd.Series(y_test).value_counts(normalize=True)*100)

0    96.522222
1     3.477778
Name: proportion, dtype: float64
0    98.0
1     2.0
Name: proportion, dtype: float64

🚩 Exercise 2 (CORE)¶

a. Why might you NOT want to use the train/test split above?

b. Modify the code to have similar class proportions in the train and test sets. Print the class proportions to check if they are similar.

Hint: consider the the additional argument stratify= inside of the train_test_split function to stratify in terms of the response when spliting the data.

because defualt people are much less than non-default people.

In [8]:
# Code for your answer here
X=df_default.drop("default",axis=1)
y=df_default["default"]
X_train, X_test, y_train, y_test = train_test_split(
    X,
    y,
    stratify=y,
    test_size=0.3,
    random_state=1112)
     
print(pd.Series(y_train).value_counts(normalize=True)*100)
print(pd.Series(y_test).value_counts(normalize=True)*100)

default
No     96.671429
Yes     3.328571
Name: proportion, dtype: float64
default
No     96.666667
Yes     3.333333
Name: proportion, dtype: float64

Logistic Regression ¶

Recall from our notes that for a binary output $y \in \lbrace 0, 1 \rbrace$, logistic regression is a classifier that can be seen a simple generalization of linear regression by making two changes.

  • First, we replaced the Gaussian distribution of the output $y$ with a Bernoulli distribution.
  • Second, we pass the linear function of the inputs, $\mathbf{w}^T\mathbf{x}$, through a link function $g: \mathbb{R} \rightarrow [0,1]$.

That is, we assume $y \sim \text{Bern}( g(\mathbf{w}^T\mathbf{x}))$.

The link function takes values in the unit interval to ensure that the conditional probability of a success,

$$p(y =1 \mid \mathbf{x}) = E[y | \mathbf{x}] = g(\mathbf{w}^T\mathbf{x})$$

is between zero and one. Specifically, in logistic regression, we select the logistic link function (S-shaped), defined as

$$g(\mathbf{w}^T\mathbf{x}) = \frac{1}{1 + \exp(-\mathbf{w}^T\mathbf{x})}$$

Putting these steps together, the logistic regression model is:

$$y \sim \text{Bern}\left( \left[1 + \exp(-\mathbf{w}^T\mathbf{x})\right]^{-1} \right)$$

In sklearn, we can fit a logistic regression model using LogisticRegression.

Creating a logistic regression model: some important options include

  • penalty specifies the type of regularization. Options are l1, l2, elasticnet, None.
  • C the inverse strength of the penalty parameter.
  • 'l1_ratio' the additional penalty parameter when using elasticnet.

CAUTION: by default LogisticRegression uses an l2 regularization with penalty parameter C=1. This default should never be used! Instead, you should either set penalty=None or tune the value of C with cross-validation.

Fitting a logistic regression model:

  • use the usual .fit(X,y) to fit the model. The fitted object stores the intercept and coefficients in the usual attributes .intercept_ and .coef_.

Prediction: methods include

  • predict which predicts the class label (either 0 or 1),
  • predict_proba which predicts the class probabilities, and
  • predict_log_proba which predicts the log probabilities of each class.

Let's start by create a pipeline to for our logisitic regression model (with no penatly).

In [9]:
# Pipeline
log_pipe = make_pipeline(
    ColumnTransformer(
        [("cat", OneHotEncoder(drop=["No"]), ['student']),
         ("num", StandardScaler(), ['balance','income'])],
         verbose_feature_names_out=False
    ),
    LogisticRegression(random_state=42, penalty=None)
)

🚩 Exercise 3 (CORE)¶

  • Fit the logistic regression model to the training data
  • Plot the coefficients using the helper function and comment on their interpretation.
  • Compute the the accuracy score of the model on the testing data
Hint

You can use the score method of LogisiticRegression to compute the accuracy.

In [10]:
# Code for your answer here!

# Fit the model using the training data

# Compute accuracy on the test data (see hint)

# Plot the coefficients using the helper function
import sklearn
log_pipe.fit(X_train,y_train)
accuracy=log_pipe.score(X_test,y_test)
print(accuracy)
coefs=get_coefs(log_pipe,plot=True,feature_names=log_pipe[:-1].get_feature_names_out())
print(coefs)

0.973

/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
No description has been provided for this image 
       feature      coef
2      balance  2.903554
3       income  0.166678
1  student_Yes -0.410220
0    intercept -6.270341

the coef of balance is large, showing the balances significantly increase the default

Evaluating Classification Models: Beyond Accuracy¶

Because of the imbalanced nature of the data, looking at accuracy alone is misleading. Indeed, a naive classifier that predicts no one defaults would achieve a high accuracy of 96.7%.

A binary classifier can make two types of errors:

  • Incorrectly assigning an individual who defaults to the no default category (FN)
  • Incorrectly assigning an individual who does not default to the default category (FP)

To better understand the FN vs FP tradeoff, we can compute the confusion matrix. Recall from our notes, the quantities reported in the confusion matrix are:

$$\text{TP} = \sum_{n=1}^N \mathbb{I}(y_n=1)\mathbb{I}(\widehat{y}_n=1),\quad \text{FP} = \sum_{n=1}^N \mathbb{I}(y_n=0)\mathbb{I}(\widehat{y}_n=1)$$ $$\text{FN} = \sum_{n=1}^N \mathbb{I}(y_n=1)\mathbb{I}(\widehat{y}_n=0), \quad \text{TN} = \sum_{n=1}^N \mathbb{I}(y_n=0)\mathbb{I}(\widehat{y}_n=0)$$

where $y_n$ is the true class and $\widehat{y}_n$ is the estimated class.

🚩 Exercise 4 (CORE)¶

  1. Use ConfusionMatrixDisplay.from_estimator to compute and visualize the confusion matrix.
  2. Comment on the importance of FNs compared to FPs to the credit card company.
In [11]:
from sklearn.metrics import ConfusionMatrixDisplay

# Code for your answer here!
ConfusionMatrixDisplay.from_estimator(log_pipe,X_test,y_test,display_labels=["nondefault","default"])
plt.show()
No description has been provided for this image

FN is much more important than FP, because FN will cause large loss.

Recall from our notes, the different evaluation measures can be defined from the confusion matrix, such as:

$$ \text{Accuracy} = \frac{\text{TP + TN}}{\text{TP + TN + FP + FN}} $$

$$ \text{FPR} = \frac{\text{FP}}{\text{FP}+ \text{TN}}, \hspace{0.5cm} \text{Recall (TPR)} = \frac{\text{TP}}{\text{TP}+ \text{FN}} \hspace{0.5cm} \text{Precision} = \frac{\text{TP}}{\text{TP}+ \text{FP}} $$

$$ \text{F1-Score} = 2\left(\frac{\text{Precision} \times \text{Recall}}{\text{Precision} + \text{Recall}}\right) = \frac{\text{2TP}}{\text{2TP + FP + FN}} $$

To compute these quantites and more, functions are available in sklearn.metrics, including:

  1. Recall (True Positive Rate)
  2. Precision
  3. F1-score
  4. AUC

For a detailed list, see https://scikit-learn.org/1.5/modules/model_evaluation.html#classification-metrics.

🚩 Exercise 5 (CORE)¶

Compute the accuracy, recall, precision, and F1-score on the test data for the fitted model (using the functions in sklearn.metrics) and comment on the model's performance.

Hint you first need to use .predict() to predict the class labels.

In [12]:
from sklearn.metrics import accuracy_score, precision_score, f1_score, recall_score

# Code for your answer here!
y_pred=log_pipe.predict(X_test)
print(accuracy_score(y_test,y_pred))
print(recall_score(y_test,y_pred,pos_label='Yes'))
print(precision_score(y_test,y_pred,pos_label='Yes'))
print(f1_score(y_test,y_pred,pos_label='Yes'))

0.973
0.32
0.7111111111111111
0.4413793103448276

This model not behave well when client is default.

🚩 Exercise 6 (EXTRA)¶

Based on the confusion matrix computed below. Use the equations above to derive:

  1. False Positive Rate
  2. Recall
  3. Precision
  4. F1-score

without using any additional built-in function from any module. If computed correctly, the numbers should match the previous exercise.

In [13]:
from sklearn.metrics import confusion_matrix

# Predict class labels
y_test_pred = log_pipe.predict(X_test)

# Compute confusion matrix
confmat = confusion_matrix(y_true = y_test, y_pred=y_test_pred)
confmat
Out[13]:
array([[2887,   13],
       [  68,   32]])
In [14]:
# Code for your answer here!

🚩 Exercise 7 (CORE)¶

The handy function RocCurveDisplay.from_estimator is also available in sklearn for plotting ROC curve for the fitted model. Use this function to plot the ROC curve and compute the AUC using sklearn.metrics.roc_auc_score on the test data. Comment on the model's performance based on these quantities.

Hint you will need to use predict_proba() to compute the class probabilities for each data point, in order to compute the AUC.

In [15]:
from sklearn.metrics import RocCurveDisplay, roc_auc_score

# Code for your answer here!
RocCurveDisplay.from_estimator(log_pipe,X_test,y_test)
plt.plot([0,1],[0,1])
plt.show()
y_proba_d=log_pipe.predict_proba(X_test)[:,1]
auc=roc_auc_score(y_test,y_proba_d)
print(auc)
No description has been provided for this image 
0.9363896551724138

this model is work well when distinct default and non-default

🚩 Exercise 8 (CORE)¶

Now, use the function PrecisionRecallDisplay.from_estimator to plot the Precision-Recall curve for the fitted model on the test data. Comment on the model's performance based on this figure.

In [16]:
from sklearn.metrics import PrecisionRecallDisplay

# Code for your answer here!
PrecisionRecallDisplay.from_estimator(log_pipe,X_test,y_test)
plt.plot([0,1],[0,1])
plt.show()
No description has been provided for this image

medel is bad when predict default

Regularization ¶

Regularization can be useful in logistic regression to deal with high-dimensional data and for variable selection. As previous stated LogisiticRegression offers four options through the 'penalty' parameter:

  • penalty=None corresponds to no regularization,
  • penalty=l2 is the default and corresponds to l2 regularization (ridge),
  • penalty=l1 corresponds to l1 regularization (lasso), and
  • penalty=elasticnet corresponds to a combination of l1 and l2 regularizaiton.

For the three regularization methods, the parameter C represents the inverse strength of the penalty parameter. Additionaly, when using elasticnet, l1_ratio is an additional penalty parameter, controlling the balance between l1 and l2 regularization.

Note: the choice of the algorithm (aka solver) depends on the penalty chosen (see the documentation for more details.)

As we saw last week, it is important to tune the penalty parameter C (and l1_ratio if using elastic net) when including regularization. Before we start searching over hyperparameters, its worth noting that some of the folds may not have the same distribution of the classes. This is particulary important for imbalanced data and means the we could get a validation score that may be a poor estimate of performance (for example we may have a fold with very few positive classes or more than usual, which can cause large differences on imbalanced data). To address this, when doing our grid search, we will use a StratifiedKFold to ensure the distribution of classes in our folds reflects the distribution in the larger data.

Run the code below to investigate the difference in class distributions across folds when using Kfold vs StratifiedKfold.

In [ ]:
In [17]:
# Consider 5 folds
KF = KFold(n_splits=5)
SKF = StratifiedKFold(n_splits=5)

fold_names = ["KFold", "StratifiedKFold"]
for i, K in enumerate([KF, SKF]):
    # Initialize an empty DataFrame to store counts for the current fold type
    fold_nos = pd.DataFrame()
    for j, (train_i, test_i) in enumerate(K.split(X_train, y_train)):
        # Compute value counts for the current fold and ensure it's a DataFrame with appropriate columns
        fold_no = pd.DataFrame(pd.Series(y_train.iloc[test_i]).value_counts()).T
        fold_no.index = ["Fold " + str(j)]  # Rename the index to reflect the fold number
        # Concatenate with the fold_nos DataFrame
        fold_nos = pd.concat([fold_nos, fold_no], axis=0)
    
    fold_nos.fillna(0, inplace=True)  # Fill missing values with 0 if any class was not present in a fold
    print(f"{fold_names[i]} counts per fold:\n", fold_nos)

KFold counts per fold:
 default    No  Yes
Fold 0   1351   49
Fold 1   1352   48
Fold 2   1367   33
Fold 3   1344   56
Fold 4   1353   47
StratifiedKFold counts per fold:
 default    No  Yes
Fold 0   1354   46
Fold 1   1354   46
Fold 2   1353   47
Fold 3   1353   47
Fold 4   1353   47

Next, let's perform a grid search to tune the regularization parameter with l2 regularization. Notice that we have listed multiple metrics to save with the option scoring=. However, setting refit= will select the best model and refit according to the specfied metric.

In [ ]:
# This code snippet sets up and executes a grid search for tuning the penalty parameter
# of a logistic regression model with l2 regularization using cross-validation. 

# Pipeline 
log_pipe_l2 = make_pipeline(
    ColumnTransformer(
        [("cat", OneHotEncoder(drop=["No"]), ['student']),
         ("num", StandardScaler(), ['balance','income'])],
         verbose_feature_names_out=False
    ),
    LogisticRegression(random_state=42, penalty='l2')
)

# Uncomment this line to find how the penalty parameter is called in the pipeline
#log_pipe.get_params()

# Possible C values: 
C_list = np.linspace(0.01, 10, num=151)


# Grid search CV:
log_rs = GridSearchCV(log_pipe_l2, 
                      param_grid={'logisticregression__C': C_list},
                      scoring = ["accuracy", "f1","recall","precision"], #Evaluation metrics to compute on validation sets
                      cv = StratifiedKFold(n_splits=5, shuffle=True),
                      refit = "accuracy", # Refits the best model on the entire dataset using the accuracy metric 
                      return_train_score = True)

# Tune the model with grid search:
log_rs.fit(X_train, y_train)

/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(

/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:1135: FutureWarning: 'penalty' was deprecated in version 1.8 and will be removed in 1.10. To avoid this warning, leave 'penalty' set to its default value and use 'l1_ratio' or 'C' instead. Use l1_ratio=0 instead of penalty='l2', l1_ratio=1 instead of penalty='l1', and C=np.inf instead of penalty=None.
  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2634, in precision_score
    p, _, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1565, in f1_score
    return fbeta_score(
           ^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1785, in fbeta_score
    _, _, f, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(
/opt/conda/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:945: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 166, in __call__
    score = scorer._score(
            ^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_scorer.py", line 417, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2818, in recall_score
    _, r, _, _ = precision_recall_fscore_support(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 191, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 2100, in precision_recall_fscore_support
    labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.12/site-packages/sklearn/metrics/_classification.py", line 1872, in _check_set_wise_labels
    raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['No', 'Yes']

  warnings.warn(

🚩 Exercise 9 (CORE)¶

a. Run the following code to plot the mean accuracy averaged across the validation folds (in black). Comment on the suggested value of C.

b. Choose a metric other than accuracy (i.e. f1, recall, or precision) and redraw the figure to plot the mean across the validation folds. Does your suggested value of C change?

In [ ]:
# Extract only mean and split scores
cv_accuracy = pd.DataFrame(
    data = log_rs.cv_results_
).filter(
    # Extract the split#_test_accuracy and mean_test_accuracy columns
    regex = '(split[0-4]+|mean)_test_accuracy'
).assign(
    # Add the alphas as a column
    C = C_list
)

# Reshape the data frame for plotting
d = cv_accuracy.melt(
    id_vars=('C','mean_test_accuracy'),
    var_name='fold',
    value_name='Accuracy'
)

# Plot the validation scores across folds
plt.figure(figsize=(7,5))
sns.lineplot(x='C', y='Accuracy', color='black', errorbar=None, data = d)  # Plot the mean score in black.
sns.lineplot(x='C', y='Accuracy', hue='fold', data = d) # Plot the curves for each fold in different colors
plt.show()
No description has been provided for this image

_Part a: we chose C that close to 0, because the accurary not change too much when C increasing.

In [ ]:
# Part b: Code for your 
from sklearn.metrics import make_scorer, f1_score
from sklearn.model_selection import cross_val_score
f1_ = make_scorer(f1_score, pos_label='Yes') 

scores = []
for C in C_list:
    log_pipe.set_params(logisticregression__C=C)
    s = cross_val_score(log_pipe, X_train, y_train, cv=5, scoring=f1_)
    scores.append(s.mean())

plt.plot(C_list, scores)
plt.xscale('log')
plt.show()

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Cell In[1], line 7
      4 f1_ = make_scorer(f1_score, pos_label='Yes') 
      6 scores = []
----> 7 for C in C_list:
      8     log_pipe.set_params(logisticregression__C=C)
      9     s = cross_val_score(log_pipe, X_train, y_train, cv=5, scoring=f1_)

NameError: name 'C_list' is not defined

Part b: Type your answer here

🚩 Exercise 10 (EXTRA)¶

a. Rebuild your model with l1 regularization and perform a grid search to tune the penalty parameter. Which metric have you chosen for refitting the model and why?

b. Plot the coefficients using the helper function. Which variables are included? How does the performance compare to the model with no regularization?

In [ ]:
# Code for your answer here

Type your answer here

Dealing with Imbalanced Data ¶

We have already seen that when dealing with imbalanced data, we need to

  1. Considering a suitable performance metric both for testing and validation.
  2. Use a suitable splitting strategy (stratified splitting) both in creating our test and validation sets.

But the majority class can still overwelm the minority class when fitting the model. To investigate, let's use the function classification_report, which reports summary of the precision, recall, F1 score for each class. Note that:

  • the recall of the positive class is also known as sensitivity; recall of the negative class is specificity.
  • it also includes the macro average (averaging the unweighted mean per label) as well as the weighted average (averaging the support-weighted mean per label).
In [ ]:
# Compute and print the classification report for the model with no penatly
from sklearn.metrics import classification_report

print(classification_report(y_test, 
                            log_pipe.predict(X_test), 
                            target_names = ['No Default','Default']))

Notice, how the metrics are much higher for the majority class (individuals who have not deafulted). In this case, we may want to alter the training algorithm or data by:

  1. Weighting the classes during training.
  2. Resampling the data.

LogisticRegression offers the option to include class weights, and for example class_weight="balanced" will weight the classes by: $ \frac{N}{2 N_c}$, where $N_c$ for $c = 0, 1$ counts the number of observations in each class. Notice how the metrics in classification report change when including this option in the code below.

In [ ]:
log_pipe_balan = make_pipeline(
    ColumnTransformer(
        [("cat", OneHotEncoder(drop=["No"]), ['student']),
         ("num", StandardScaler(), ['balance','income'])],
         verbose_feature_names_out=False
    ),
    LogisticRegression(random_state=42, penalty=None, class_weight='balanced')
).fit(X_train, y_train)

print(classification_report(y_test, 
                            log_pipe_balan.predict(X_test), 
                            target_names = ['No Default','Default']))

In the following, the focus is on suitable resampling to change the distribution of the classes in our training data.

Resampling¶

To alter the distribution of the classes in our training data, there are two main approaches:

  • Under-sampling the majority class
  • Over-sampling the minority class

We will be using Imbalanced-learn (imported as imblearn), an open source, MIT-licensed library relying on scikit-learn that provides tools for dealing with classification with imbalanced classes (see here for an introduction). Let's start by installing the imblearn package if necessary.

In [ ]:
# Install the imblearn if necessary 
#!pip install imblearn

In the previous notebooks, we learned about transformers, which allow us to alter the features and not the number of observations in our data (i.e. the columns of $\mathbf{X}$). Instead, resamplers provide a preprocessing step in our Pipeline to alter the number of observations and not the features (i.e. the rows of $\mathbf{X}$ and $\mathbf{y}$).

Resamplers

Resamplers are classes that follow the scikit-learn API and have a sampling functionality through the .resample() method. Like all other scikit-learn methods, they have a .fit() method which is only applied during pipeline training. This means if we want to create our own resampler from scratch that is compatible with scikit-learn, we just have to make a class that has three methods; .fit(), .resample(), and .fit_resample(); with the latter just chaining the other two together.

Therefore to resample a dataset, each sampler implements:

obj.fit(data, targets)
data_resampled, targets_resampled = obj.resample(data, targets)

or simply...

data_resampled, targets_resampled = obj.fit_resample(data, targets)

Remember to include your sampler within your model pipeline to prevent data leakage!

Under-Sampling¶

Under-sampling involves removing observations from the majority class to prevent its signal from dominating during training. We will focus on the simplest strategy:

  • RandomUnderSampler, which randomly removes observations from the majority class.

For an overview of other under-samplers, see: https://imbalanced-learn.org/stable/under_sampling.html

In [ ]:
from imblearn.pipeline import Pipeline as ImPipeline
from imblearn.under_sampling import RandomUnderSampler

# Pipeline with under sampling
log_pipe_us = ImPipeline([
    ("fe",ColumnTransformer(
        [("cat", OneHotEncoder(drop=["No"]), ['student']),
         ("num", StandardScaler(), ['balance','income'])],
         verbose_feature_names_out=False
    )),
   ("sampler", RandomUnderSampler(random_state=42)),
   ("model", LogisticRegression(random_state=42, penalty=None))])

# Fit model     
log_pipe_us.fit(X_train, y_train)

🚩 Exercise 11 (CORE)¶

Compute and print the classification report and visualize the confusion matrix for the model above with undersampling. How have the results changed?

In [ ]:
# Code for your answer here

Type your answer here

Oversampling¶

Over-sampling involves generating additional observations from the minority class. We will focus on the simplest strategy:

  • RandomOverSampler, which randomly samples with replacement observations from the minority class.

For an overview of other over-samplers, see: https://imbalanced-learn.org/stable/over_sampling.html

🚩 Exercise 12 (CORE)¶

a. Create a new pipeline for a logisitic regression model with oversampling (by copying and editting the pipeline above).

b. How do the performance metrics compare with under-sampling?

In [ ]:
from imblearn.over_sampling import RandomOverSampler

# Code for your answer here

Type your answer here

Multi-class Logistic Regression ¶

Finally, to gain some experience with multi-class logistic regression, let's now look at the iris data set, which we have seen already in lectures.

This is an example where the response has 3 classes corresponding to the three types of iris species and $D=4$ features (petal length, petal width, sepal length, sepal width).

Let's start by loading the data and doing some basic EDA.

In [ ]:
# First load the data 
from sklearn.datasets import load_iris

# Loading data
iris = pd.DataFrame(sns.load_dataset('iris'))

# Print information about the data set
print(iris.info())
print(iris.describe())
print(iris['species'].value_counts())

# Pairplot
sns.pairplot(data = iris, hue = 'species',corner=True)
plt.show()

From the intial EDA, we observe:

  • The features have similar, but slightly different scales.
  • Visually, the species appear to be fairly well separated.
  • The target variable species is a string and we will need a label encoding
  • The species types are equal distributed, and thus no methods for class imbalance are needed.

Now, let's separate the features and target, encode the target, and split into training and test sets.

In [ ]:
# Feature matrix and response vector
X, y = iris.drop(['species'], axis=1), iris['species']

# Encode target
y = LabelEncoder().fit_transform(y)

# Split into training and testing 
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42, shuffle=True)

🚩 Exercise 13 (CORE)¶

We can use the same LogisticRegression for the multi-class setting. In this case, it will fit the multinomial logistic regression model. Fit a multinomial logisitic regression model and visualize the confusion matrix.

In [ ]:
# Code for your answer here!

🚩 Exercise 14 (EXTRA)¶

In the multi-class setting, the .coeff_ attribute is a $ C\times D $ matrix of the model coefficents. Recall that the log odds of being in class $ c $ relative to class $ c^\prime $ is:

$$ \log \left(\frac{p(y=c \mid \mathbf{x})}{p(y=c^\prime \mid \mathbf{x})} \right) = \log \left(\frac{\exp(\mathbf{w}_c^T\mathbf{x})}{\sum_{l=1}^C\exp(\mathbf{w}_l^T\mathbf{x})} / \frac{\exp(\mathbf{w}_{c^\prime}^T\mathbf{x})}{\sum_{l=1}^C\exp(\mathbf{w}_l^T\mathbf{x})} \right) = \left(\mathbf{w}_{c} - \mathbf{w}_{c^\prime} \right)^T\mathbf{x}$$

For each unique pair of classes, create a barplot to visualize the coefficients of one class relative to another, i.e. $\mathbf{w}_{c} - \mathbf{w}_{c^\prime}$. Which features are most important for distinguishing between classes? Interpret how a unit change in the features affects the odds of being in one class relative to another.

In [ ]:
# Code for your answer here

Type your answer here

Competing the Worksheet¶

At this point you have hopefully been able to complete all the CORE exercises and attempted the EXTRA ones. Now is a good time to check the reproducibility of this document by restarting the notebook's kernel and rerunning all cells in order.

Before generating the PDF, please change 'Student 1' and 'Student 2' at the top of the notebook to include your name(s).

Once that is done and you are happy with everything, you can then run the following cell to generate your PDF. Once generated, please submit this PDF on Learn page by 16:00 PM on the Friday of the week the workshop was given.

In [ ]:
!jupyter nbconvert --to pdf mlp_week06.ipynb